Naoki Hisamoto
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
- Aging 56
- Genetics, Aging, and Longevity in Model Organisms 56
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- Advanced Electron Microscopy Techniques and Applications 7
- Co-authors
- Kunihiro MatsumotoHideki InoueDennis H. KimFrederick M. AusubelYishi JinT. Keith BlackwellJae Hyung AnEisuke Nishida
- Journals
- Journal of Neuroscience (8 papers)PLoS Genetics (6 papers)Molecular and Cellular Biology (6 papers)Journal of Cell Science (5 papers)EMBO Reports (5 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Naoki Hisamoto
87 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Aging 2.3k
- Endocrine and Autonomic Systems 643
- Cell Biology 864
- Molecular Biology 2.8k
- Biological Psychiatry 89
Countries citing papers authored by Naoki Hisamoto
This map shows the geographic impact of Naoki Hisamoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naoki Hisamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Hisamoto more than expected).
Fields of papers citing papers by Naoki Hisamoto
This network shows the impact of papers produced by Naoki Hisamoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naoki Hisamoto. The network helps show where Naoki Hisamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Hisamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2021 | 4 | |
| 3 | 2021 | 8 | |
| 4 | 2017 | 19 | |
| 5 | 2016 | 38 | |
| 6 | 2012 | 65 | |
| 7 | 2011 | 68 | |
| 8 | Local evaluation of stiffness distribution for biological organism by nanoprobes inside ESEM | 2009 | 1 |
| 9 | 2009 | 19 | |
| 10 | 2009 | 187 | |
| 11 | 2009 | 13 | |
| 12 | 2007 | 31 | |
| 13 | 2007 | 153 | |
| 14 | 2004 | 99 | |
| 15 | 2003 | 45 | |
| 16 | A Conserved p38 MAP Kinase Pathway in Caenorhabditis elegans Innate Immunity Hit paper breakdown → | 2002 | 671 |
| 17 | 2001 | 172 | |
| 18 | 2001 | 58 | |
| 19 | 2000 | 37 | |
| 20 | 1994 | 90 |
About Naoki Hisamoto
Naoki Hisamoto is a scholar working on Aging, Structural Biology, Endocrine and Autonomic Systems, Cell Biology and Geriatrics and Gerontology, having authored 89 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (56 papers), Circadian rhythm and melatonin (12 papers), Microtubule and mitosis dynamics (9 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Advanced Electron Microscopy Techniques and Applications (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Muscle Physiology and Disorders (6 papers) and Cellular Mechanics and Interactions (6 papers). The work is most often cited by research in Aging (2.3k citations), Endocrine and Autonomic Systems (643 citations), Cell Biology (864 citations), Molecular Biology (2.8k citations) and Biological Psychiatry (89 citations). Naoki Hisamoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kunihiro Matsumoto, Hideki Inoue, Dennis H. Kim, Frederick M. Ausubel, Yishi Jin, T. Keith Blackwell, Jae Hyung An, Eisuke Nishida, Rhonda Feinbaum and Danielle A. Garsin. Their work appears in journals such as Journal of Neuroscience, PLoS Genetics, Molecular and Cellular Biology, Journal of Cell Science and EMBO Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.